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Aims

We investigated the impact of intentional weight loss on health care resource utilization (HCRU) and costs among people with obesity.

Materials and Methods

This retrospective, observational cohort study used data from the Clinical Practice Research Datalink (CPRD) GOLD database. Adults >18 years at index date [first recorded body mass index (BMI) of 30-50 kg/m2 between 2006 and 2015 with a further BMI record 4 years later] were assigned to an intentional weight loss cohort (−25% to −10% BMI change) or a stable weight cohort (−3% to +3%), based on their BMI change during a 4-year baseline period from index date. Evidence of intention to lose weight during the baseline period was required. Linked Hospital Episode Statistics datasets captured HCRU and costs over an 8-year follow-up period. Mixed effects models adjusted for demographics, total costs during baseline and baseline comorbidities were used.

Results

Baseline characteristics were similar between cohorts with weight loss (n = 8676) and stable weight (n = 44 519). Over follow-up, the weight loss cohort experienced a significantly lower mean annual increase in total costs [2.1% (95% confidence interval: 1.3-2.8)] than the stable weight cohort [4.3% (95% confidence interval: 4.0-4.6); p < .0001]. Weight loss was associated with a lower mean annual increase in multiple HCRU and cost components compared with maintaining a stable high weight.

Conclusions

Our findings suggest that intentional weight loss of 10-25% is associated with lower HCRU and costs in the long term among individuals living with obesity, relative to stable weight.  相似文献   
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J Clin Hypertens(Greenwich). 2010;12:636–644. © 2010 Wiley Periodicals, Inc. The objective of this study was to determine independent and joint association of body mass index (BMI) percentile and leisure time physical activity (LTPA) with continuous metabolic syndrome (cMetS) risk score in 12- to 17-year-old American children. The 2003 to 2004 US National Health and Nutrition Examination Survey data were used for this investigation. LTPA was determined by self-report. cMetS risk score was calculated using standardized residuals of arterial blood pressure, triglycerides, glucose, waist circumference, and high-density lipoprotein cholesterol. Multiple linear regression analysis was used to evaluate association of BMI percentile and LTPA with cMetS risk score, adjusting for confounders. Increased BMI percentile and LTPA were each associated with increased and decreased cMetS risk score, respectively ((P<.01). There was a gradient of increasing cMetS risk score by BMI percentile cutpoints, from healthy weight (−0.77) to overweight (3.43) and obesity (6.40) ((P<.05). A gradient of decreasing cMetS risk score from sedentary (0.88) to moderate (0.17) and vigorous (−0.42) LTPA levels was also observed (P<.01). The result of this study suggests that promoting LTPA at all levels of weight status may help to reverse the increasing trends of metabolic syndrome in US children.  相似文献   
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